Radia has been described as a pioneer of teaching young children computer programming. During research performed in 1974–6, young children-the youngest aged 3½ years, programmed a LOGO educational robot called a Turtle. Working under the supervision of Seymour Papert, she developed a child-friendly version of the educational robotics language LOGO, called TORTIS ("Toddler's Own Recursive Turtle Interpreter System"). We made sure to spread the word about Pearl to both local and international peers focusing mainly on owned and earned media known by the advertising world such as MediaMarketing, Pub (both of them Belgian magazines) and the likes of AdWeek (who hoped Pearl would get it really, really wrong).As an undergraduate at MIT she undertook a UROP (Undergraduate Research Opportunity), in lieu of course units, within the LOGO Lab at the (then) MIT Artificial Intelligence Laboratory. Created to raise a debate about the future of award judging, we used the right media outlets to not only reach as many advertising professionals as possible but get them to think about it as well.īy the time the campaign ended, we reached over 14 million industry professionals and appeared in all top advertising media outlets.Īs an AI experiment created to raise a debate about the future of advertising award shows, Pearl strikes a chord with our core audience: professionals within the advertising world.
Pearl is an AI jury experiment which distilled and quantified data from over 30.000 award show entries. In the future, we hope to let Pearl assist human judges in other award shows as well. She isn’t there to replace human judgement, but she can keep an extra eye out for them. Reaching over 14 million advertising professionals, Pearl raised a debate about the future of creative judging:įor example, in larger competitions she can be helpful in pre-judging to avoid that good campaigns get overlooked. Proving that AI can be helpful as an additional tool for award show judges: she never grows tired, never loses attention and doesn’t have friends to defend or a country or network to promote. Out of 150 cases, Pearl picked the same winner as the human jury did. There still is room for but Pearl has already proven helpful in for example detecting original combinations to look for creativity. One month later we revealed the regular winners of the MIXX awards ànd the first winner of the AI award. Pearl certainly didn’t miss her entry: AdWeek ignited the debate by hoping that her judging result would be it “really, really wrong”.Īt the same time we launched the call for entries (via direct mail) promoting the chance to be judged by world’s first AI judge as well. We first spread the word about Pearl by contacting local and international advertising media outlets.
Online video & press releases: Launch of the first AI jury experiment (September 18th) To be able to give Pearl the necessary time to analyse all cases and learn to predict future success, development started as early as June.Ģ. Pearl combined Spotify’s API, early access to Microsoft’s Video Indexer service and Amazon’s High Performance Computing services to learn from all of those cases and make her own prediction as jury member of the award show.ġ.ĝevelopment of Artificial Intelligence & Machine learning (as from June 16th) Pearl was fed with all international MIXX case studies from the last decade and given 3 months to analyse the texts, videos, results and even music, making her surely the most experienced advertising jury on the planet. Named after Radia Perlman, one of the prominent female internet pioneers, the result is Pearl. This first AI experiment on judging will investigate if creativity is measurable and how AI might be able to help the judging system. Introducing Pearl, the first AI jury experiment. Could artificial intelligence make awards judging fairer in the future?
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